Presentation | 2004/3/9 Examination of Partial Solution in Symbiotic Evolution for Decision Tree Generation Noriko OTANI, Masamichi SHIMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In representing classification rules by decision trees, simplicity of tree structure is as important as predictive accuracy especially in consideration of the memory capacity and the time required to classify. This paper addresses the issue of the generation of accurate and simple decision trees based on symbiotic evolution. It is distinctive of symbiotic evolution that individuals represent partial solutions. We construct a new system SESAT2, and examine the effect of some matters for partial solutions in it. Experiments were performed with four types of SESAT2 on several datasets in UCI repository. Our results show that the differences between the four systems produce no effect in training fitness and predictive accuracy, but some effect in simplicity and training time. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | decision tree / genetic algorithm / symbiotic evolution / partial solution |
Paper # | AI2003-98 |
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Conference Information | |
Committee | AI |
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Conference Date | 2004/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Examination of Partial Solution in Symbiotic Evolution for Decision Tree Generation |
Sub Title (in English) | |
Keyword(1) | decision tree |
Keyword(2) | genetic algorithm |
Keyword(3) | symbiotic evolution |
Keyword(4) | partial solution |
1st Author's Name | Noriko OTANI |
1st Author's Affiliation | Faculty of Environmental and Information Studies, Musashi Institute of Technology() |
2nd Author's Name | Masamichi SHIMURA |
2nd Author's Affiliation | Faculty of Environmental and Information Studies, Musashi Institute of Technology |
Date | 2004/3/9 |
Paper # | AI2003-98 |
Volume (vol) | vol.103 |
Number (no) | 725 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |